@inproceedings{liu-etal-2016-bilingual,
title = "A Bilingual Discourse Corpus and Its Applications",
author = "Liu, Yang and
Zhang, Jiajun and
Zong, Chengqing and
Yang, Yating and
Zhou, Xi",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1159",
pages = "1002--1007",
abstract = "Existing discourse research only focuses on the monolingual languages and the inconsistency between languages limits the power of the discourse theory in multilingual applications such as machine translation. To address this issue, we design and build a bilingual discource corpus in which we are currently defining and annotating the bilingual elementary discourse units (BEDUs). The BEDUs are then organized into hierarchical structures. Using this discourse style, we have annotated nearly 20K LDC sentences. Finally, we design a bilingual discourse based method for machine translation evaluation and show the effectiveness of our bilingual discourse annotations.",
}
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<abstract>Existing discourse research only focuses on the monolingual languages and the inconsistency between languages limits the power of the discourse theory in multilingual applications such as machine translation. To address this issue, we design and build a bilingual discource corpus in which we are currently defining and annotating the bilingual elementary discourse units (BEDUs). The BEDUs are then organized into hierarchical structures. Using this discourse style, we have annotated nearly 20K LDC sentences. Finally, we design a bilingual discourse based method for machine translation evaluation and show the effectiveness of our bilingual discourse annotations.</abstract>
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%0 Conference Proceedings
%T A Bilingual Discourse Corpus and Its Applications
%A Liu, Yang
%A Zhang, Jiajun
%A Zong, Chengqing
%A Yang, Yating
%A Zhou, Xi
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F liu-etal-2016-bilingual
%X Existing discourse research only focuses on the monolingual languages and the inconsistency between languages limits the power of the discourse theory in multilingual applications such as machine translation. To address this issue, we design and build a bilingual discource corpus in which we are currently defining and annotating the bilingual elementary discourse units (BEDUs). The BEDUs are then organized into hierarchical structures. Using this discourse style, we have annotated nearly 20K LDC sentences. Finally, we design a bilingual discourse based method for machine translation evaluation and show the effectiveness of our bilingual discourse annotations.
%U https://aclanthology.org/L16-1159
%P 1002-1007
Markdown (Informal)
[A Bilingual Discourse Corpus and Its Applications](https://aclanthology.org/L16-1159) (Liu et al., LREC 2016)
ACL
- Yang Liu, Jiajun Zhang, Chengqing Zong, Yating Yang, and Xi Zhou. 2016. A Bilingual Discourse Corpus and Its Applications. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1002–1007, Portorož, Slovenia. European Language Resources Association (ELRA).